| Linkage disequilibrium mapping of yield and yield stability in modern spring barley cultivars ATW Kraakman, RE Niks, PMMM Van den Berg, P Stam, FA Van Eeuwijk Genetics 168 (1), 435-446, 2004 | 591 | 2004 |
| The statistical analysis of multi-environment data: modeling genotype-by-environment interaction and its genetic basis M Malosetti, JM Ribaut, FA van Eeuwijk Frontiers in physiology 4, 44, 2013 | 552 | 2013 |
| Models for navigating biological complexity in breeding improved crop plants G Hammer, M Cooper, F Tardieu, S Welch, B Walsh, F van Eeuwijk, ... Trends in plant science 11 (12), 587-593, 2006 | 457 | 2006 |
| Genome-wide association studies for agronomical traits in a world wide spring barley collection RK Pasam, R Sharma, M Malosetti, FA van Eeuwijk, G Haseneyer, ... BMC plant biology 12, 1-22, 2012 | 452 | 2012 |
| Genotype× environment interaction and adaptation I Romagosa, PN Fox Plant breeding: principles and prospects, 373-390, 1993 | 435 | 1993 |
| A Mixed-Model Approach to Association Mapping Using Pedigree Information With an Illustration of Resistance to Phytophthora infestans in Potato M Malosetti, CG Van der Linden, B Vosman, FA Van Eeuwijk Genetics 175 (2), 879-889, 2007 | 313 | 2007 |
| A comparative study of molecular and morphological methods of describing relationships between perennial ryegrass (Lolium perenne L.) varieties I Roldán-Ruiz, FA Van Euwijk, TJ Gilliland, P Dubreuil, C Dillmann, ... TAG Theoretical and Applied Genetics 103 (8), 1138-1150, 2001 | 313 | 2001 |
| A mixed-model quantitative trait loci (QTL) analysis for multiple-environment trial data using environmental covariables for QTL-by-environment interactions, with an example in … MP Boer, D Wright, L Feng, DW Podlich, L Luo, M Cooper, ... Genetics 177 (3), 1801-1813, 2007 | 276 | 2007 |
| What should students in plant breeding know about the statistical aspects of genotype× environment interactions? FA Van Eeuwijk, DV Bustos‐Korts, M Malosetti Crop Science 56 (5), 2119-2140, 2016 | 263 | 2016 |
| Correcting for spatial heterogeneity in plant breeding experiments with P-splines MX Rodriguez-Alvarez, MP Boer, FA van Eeuwijk, PHC Eilers Spatial Statistics 23, 52-71, 2018 | 257 | 2018 |
| Natural variation for seed dormancy in Arabidopsis is regulated by additive genetic and molecular pathways L Bentsink, J Hanson, CJ Hanhart, H Blankestijn-de Vries, C Coltrane, ... Proceedings of the National Academy of Sciences 107 (9), 4264-4269, 2010 | 253 | 2010 |
| Linkage disequilibrium mapping of morphological, resistance, and other agronomically relevant traits in modern spring barley cultivars ATW Kraakman, F Martinez, B Mussiraliev, FA Van Eeuwijk, RE Niks Molecular Breeding 17, 41-58, 2006 | 246 | 2006 |
| Root phenotyping: from component trait in the lab to breeding RCP Kuijken, FA van Eeuwijk, LFM Marcelis, HJ Bouwmeester Journal of experimental botany 66 (18), 5389-5401, 2015 | 241 | 2015 |
| Data-processing strategies for metabolomics studies MMWB Hendriks, FA van Eeuwijk, RH Jellema, JA Westerhuis, ... TrAC Trends in Analytical Chemistry 30 (10), 1685-1698, 2011 | 232 | 2011 |
| Modeling QTL for complex traits: detection and context for plant breeding M Cooper, FA van Eeuwijk, GL Hammer, DW Podlich, C Messina Current opinion in plant biology 12 (2), 231-240, 2009 | 227 | 2009 |
| Tracing the ancestry of modern bread wheats C Pont, T Leroy, M Seidel, A Tondelli, W Duchemin, D Armisen, D Lang, ... Nature genetics 51 (5), 905-911, 2019 | 225 | 2019 |
| Improved batch correction in untargeted MS-based metabolomics R Wehrens, JA Hageman, F van Eeuwijk, R Kooke, PJ Flood, E Wijnker, ... Metabolomics 12, 1-12, 2016 | 225 | 2016 |
| Assessing non-specificity of resistance in wheat to head blight caused by inoculation with European strains of Fusarium culmorum, F. graminearum and F. nivale using a … FA Eeuwijk, A Mesterhazy, CI Kling, P Ruckenbauer, L Saur, ... TAG Theoretical and Applied Genetics 90 (2), 221-228, 1995 | 224 | 1995 |
| Genomic prediction of maize yield across European environmental conditions EJ Millet, W Kruijer, A Coupel-Ledru, S Alvarez Prado, L Cabrera-Bosquet, ... Nature genetics 51 (6), 952-956, 2019 | 217 | 2019 |
| Using partial least squares regression, factorial regression, and AMMI models for interpreting genotype× environment interaction M Vargas, J Crossa, FA van Eeuwijk, ME Ramírez, K Sayre Crop science 39 (4), 955-967, 1999 | 216* | 1999 |
Marcos MalosettiApplied Mathematics and Statistic Group, Wageningen UniversityVerified email at wur.nl
